The effectiveness of GIOSS for the text database discovery problem
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Experiences with selecting search engines using metasearch
ACM Transactions on Information Systems (TOIS)
Visual information retrieval from large distributed online repositories
Communications of the ACM
Searching Multimedia Databases by Content
Searching Multimedia Databases by Content
Architecture of a metasearch engine that supports user information needs
Proceedings of the eighth international conference on Information and knowledge management
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
Multimedia Tools and Applications
Interactive Web Multimedia Search Using Query-Session-Based Query Expansion
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Heterogeneous image database selection on the web
Journal of Systems and Software
Image Retrieval Using Multiple Evidence Ranking
IEEE Transactions on Knowledge and Data Engineering
Image retrieval system using R-tree self-organizing map
Data & Knowledge Engineering
Knowledge-based image retrieval system
Knowledge-Based Systems
Vlogging: A survey of videoblogging technology on the web
ACM Computing Surveys (CSUR)
POISE – achieving content-based picture organisation for image search engines
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Oracle in Image Search: A Content-Based Approach to Performance Prediction
ACM Transactions on Information Systems (TOIS)
To what problem is distributed information retrieval the solution?
Journal of the American Society for Information Science and Technology
When Amazon Meets Google: Product Visualization by Exploring Multiple Web Sources
ACM Transactions on Internet Technology (TOIT)
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
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MetaSeek is an image metasearch engine developed to explore the querying of large, distributed, online visual information systems. The current implementation integrates user feedback into a performance-ranking mechanism. MetaSeek selects and queries the target image search engines according to their success under similar query conditions in previous searches. The current implementation keeps track of each target engine's performance by integrating user feedback for each visual query into a performance database. We begin with a review of the issues in content-based visual query, then describe the current MetaSeek implementation. We present the results of experiments that evaluated the implementation in comparison to a previous version of the system and a baseline engine that randomly selects the individual search engines to query. We conclude by summarizing open issues for future research